Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "84"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 84 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 44 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 42 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 84, Node N08:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459859 digital_ok 100.00% 0.00% 100.00% 0.00% - - 6.726509 22.887670 0.219486 12.650522 0.132803 2.586600 -0.437732 3.282905 0.7296 0.0422 0.6227 nan nan
2459858 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 7.095084 24.511368 0.256342 13.027577 0.262563 2.657321 -0.484317 5.994692 0.7380 0.0394 0.6225 2.695855 1.124979
2459857 digital_ok 100.00% 100.00% 100.00% 0.00% - - 11.875286 5.635379 4.116809 6.799146 3.658522 5.116851 7.436837 19.715645 0.0270 0.0221 0.0017 nan nan
2459856 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 10.598259 35.670307 -0.325769 32.461292 -1.162060 11.572470 -0.680063 8.067794 0.7292 0.0410 0.6133 2.739763 1.150857
2459855 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 11.235653 37.310551 -0.474298 34.021081 -1.046192 4.116158 -0.745156 3.553426 0.7119 0.0412 0.5917 2.653930 1.128398
2459854 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 11.487937 36.725546 -0.367820 26.211749 -0.670841 4.222431 0.952958 8.191281 0.7244 0.0445 0.6085 2.583658 1.128660
2459853 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 9.265092 30.746781 -0.202615 35.725930 -0.923370 10.407340 -0.578637 8.488363 0.7531 0.0443 0.6341 3.165093 1.134478
2459852 digital_ok 100.00% 29.19% 100.00% 0.00% 100.00% 0.00% 6.708118 21.962876 -0.351655 37.309660 -1.388262 19.284236 -1.024322 16.481224 0.6194 0.0488 0.5047 3.746401 1.140947
2459851 digital_ok 100.00% 0.00% 89.69% 0.00% 100.00% 0.00% 7.927263 34.173164 -0.082256 39.650657 -0.342417 42.212423 -0.036486 24.089677 0.7751 0.1061 0.5909 3.686608 1.217326
2459850 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 8.662920 34.102687 -0.232493 33.284430 -0.923094 18.924066 -0.508955 20.243970 0.7526 0.0684 0.5958 2.950553 1.126699
2459849 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 10.678095 35.441107 0.607314 65.557136 -1.176766 12.391025 -0.315954 11.415686 0.7533 0.0506 0.5994 4.089584 1.184771
2459848 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 9.821175 31.837263 0.490429 43.457779 -0.603990 21.245589 -0.573392 7.830393 0.7302 0.0467 0.5894 3.503843 1.191158
2459847 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 10.667243 34.542751 0.446831 40.968647 -0.302902 27.684758 -0.834645 3.988725 0.7415 0.0361 0.6025 3.550781 1.148016
2459846 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 10.730701 46.128872 0.273712 45.387903 -1.183988 20.727381 -0.659062 7.113025 0.8577 0.0394 0.7087 3.568027 1.186962
2459845 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459842 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 5.706930 22.293601 0.521598 11.182460 0.258205 -0.819242 -0.068658 2.542763 0.7568 0.1443 0.5844 7.647388 1.285886
2459841 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 55.814014 53.118482 7.711764 6.612724 2.632276 6.341523 10.191682 16.220769 0.0270 0.0222 0.0019 nan nan
2459839 digital_ok 100.00% - - - - - 14.126366 13.603923 18.286684 16.163685 1.317266 3.166992 14.314067 21.449425 nan nan nan nan nan
2459838 digital_ok 100.00% 0.00% 99.39% 0.00% 100.00% 0.00% 10.467097 34.214395 0.694339 27.491922 -1.895993 28.481339 -0.611271 4.304529 0.7628 0.1723 0.6180 5.131002 1.391738
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0347 0.0312 0.0023 nan nan
2459835 digital_ok 0.00% 100.00% 100.00% 0.00% - - 0.181494 -0.384611 -0.846630 2.163925 1.055729 -0.539755 0.927359 1.331589 0.0335 0.0320 0.0008 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 3.805989 3.473621 4.077631 3.092627 2.656595 1.367186 6.495203 9.032488 0.0273 0.0257 0.0009 nan nan
2459832 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.959624 16.437997 0.972498 -0.062260 -1.461714 3.593770 0.099741 2.463329 0.8176 0.5806 0.5398 3.176855 3.749692
2459831 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459830 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.952381 16.537365 1.813190 0.712513 -0.370727 0.131610 -0.057114 -0.489891 0.8195 0.6002 0.5103 4.645964 5.457097
2459829 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.762379 20.770730 1.729179 0.996610 11.286684 0.800048 0.273621 0.794915 0.7700 0.7024 0.3744 7.016006 8.908049
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.516768 13.037399 0.823678 1.044612 -0.153946 0.709234 0.125889 -0.249453 0.8189 0.6039 0.4978 5.238958 6.936172
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.380185 15.600494 2.043653 1.431114 -1.007270 0.722977 -0.688205 -1.332677 0.7792 0.7091 0.3789 14.017173 13.947425
2459826 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.629806 11.535787 1.963192 1.034986 0.366545 1.216126 -0.486848 0.615419 0.8157 0.6131 0.4874 8.223320 9.309866
2459825 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.647380 12.030065 0.654191 0.638365 -0.359646 0.018064 -0.508247 -0.866460 0.8199 0.6413 0.4696 6.989423 9.069015
2459824 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 12.150956 12.882267 -0.030395 0.826070 -0.828183 -0.426194 -0.347431 -0.608988 0.7482 0.7714 0.3308 7.244478 7.262122
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.231308 8.839119 0.659478 0.981154 0.123828 -0.535560 -0.388015 0.350581 0.7866 0.6925 0.4208 202.509415 110.692068
2459822 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.504014 11.856045 0.864122 1.138214 -0.241103 -0.080198 -0.563475 -0.982278 0.8166 0.6542 0.4726 4.916173 5.105727
2459821 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.781317 11.608880 0.013626 0.910668 8.287362 -0.456988 86.636426 -0.752886 0.8204 0.6800 0.4568 4.397673 4.491993
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.221487 15.032129 0.359319 1.272964 9.637161 2.454155 38.665378 1.429280 0.7899 0.7271 0.3827 5.074244 5.879466
2459817 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.128897 9.503435 0.600020 1.143740 -0.430413 0.403788 0.841596 0.390744 0.8294 0.7120 0.4548 3.283303 3.389571
2459816 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.016819 10.402937 0.901336 1.113647 -0.038009 1.124988 -0.493928 3.231141 0.8558 0.6355 0.5548 4.033310 4.099301
2459815 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.321450 9.109864 -0.076577 0.978449 -0.658873 0.913709 -0.558162 2.278572 0.8316 0.7281 0.4578 4.648080 4.731117
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 16.867172 19.316557 -0.180092 0.772046 -1.082286 1.887260 0.393953 0.446668 0.0536 0.0730 0.0072 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 84: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 22.887670 6.726509 22.887670 0.219486 12.650522 0.132803 2.586600 -0.437732 3.282905

Antenna 84: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 24.511368 24.511368 7.095084 13.027577 0.256342 2.657321 0.262563 5.994692 -0.484317

Antenna 84: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Temporal Discontinuties 19.715645 5.635379 11.875286 6.799146 4.116809 5.116851 3.658522 19.715645 7.436837

Antenna 84: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 35.670307 10.598259 35.670307 -0.325769 32.461292 -1.162060 11.572470 -0.680063 8.067794

Antenna 84: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 37.310551 37.310551 11.235653 34.021081 -0.474298 4.116158 -1.046192 3.553426 -0.745156

Antenna 84: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 36.725546 36.725546 11.487937 26.211749 -0.367820 4.222431 -0.670841 8.191281 0.952958

Antenna 84: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Power 35.725930 30.746781 9.265092 35.725930 -0.202615 10.407340 -0.923370 8.488363 -0.578637

Antenna 84: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Power 37.309660 6.708118 21.962876 -0.351655 37.309660 -1.388262 19.284236 -1.024322 16.481224

Antenna 84: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Temporal Variability 42.212423 7.927263 34.173164 -0.082256 39.650657 -0.342417 42.212423 -0.036486 24.089677

Antenna 84: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 34.102687 8.662920 34.102687 -0.232493 33.284430 -0.923094 18.924066 -0.508955 20.243970

Antenna 84: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Power 65.557136 10.678095 35.441107 0.607314 65.557136 -1.176766 12.391025 -0.315954 11.415686

Antenna 84: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Power 43.457779 31.837263 9.821175 43.457779 0.490429 21.245589 -0.603990 7.830393 -0.573392

Antenna 84: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Power 40.968647 34.542751 10.667243 40.968647 0.446831 27.684758 -0.302902 3.988725 -0.834645

Antenna 84: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 46.128872 10.730701 46.128872 0.273712 45.387903 -1.183988 20.727381 -0.659062 7.113025

Antenna 84: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 84: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 84: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 84: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 22.293601 5.706930 22.293601 0.521598 11.182460 0.258205 -0.819242 -0.068658 2.542763

Antenna 84: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 84: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Shape 55.814014 55.814014 53.118482 7.711764 6.612724 2.632276 6.341523 10.191682 16.220769

Antenna 84: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Temporal Discontinuties 21.449425 13.603923 14.126366 16.163685 18.286684 3.166992 1.317266 21.449425 14.314067

Antenna 84: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 34.214395 34.214395 10.467097 27.491922 0.694339 28.481339 -1.895993 4.304529 -0.611271

Antenna 84: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Power 2.163925 -0.384611 0.181494 2.163925 -0.846630 -0.539755 1.055729 1.331589 0.927359

Antenna 84: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Temporal Discontinuties 9.032488 3.473621 3.805989 3.092627 4.077631 1.367186 2.656595 9.032488 6.495203

Antenna 84: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 16.437997 14.959624 16.437997 0.972498 -0.062260 -1.461714 3.593770 0.099741 2.463329

Antenna 84: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 84: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 16.537365 13.952381 16.537365 1.813190 0.712513 -0.370727 0.131610 -0.057114 -0.489891

Antenna 84: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 20.770730 20.770730 17.762379 0.996610 1.729179 0.800048 11.286684 0.794915 0.273621

Antenna 84: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 13.037399 13.037399 11.516768 1.044612 0.823678 0.709234 -0.153946 -0.249453 0.125889

Antenna 84: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 15.600494 14.380185 15.600494 2.043653 1.431114 -1.007270 0.722977 -0.688205 -1.332677

Antenna 84: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 11.535787 11.535787 10.629806 1.034986 1.963192 1.216126 0.366545 0.615419 -0.486848

Antenna 84: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 12.030065 12.030065 11.647380 0.638365 0.654191 0.018064 -0.359646 -0.866460 -0.508247

Antenna 84: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 12.882267 12.150956 12.882267 -0.030395 0.826070 -0.828183 -0.426194 -0.347431 -0.608988

Antenna 84: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 8.839119 8.839119 7.231308 0.981154 0.659478 -0.535560 0.123828 0.350581 -0.388015

Antenna 84: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 11.856045 10.504014 11.856045 0.864122 1.138214 -0.241103 -0.080198 -0.563475 -0.982278

Antenna 84: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Temporal Discontinuties 86.636426 11.608880 9.781317 0.910668 0.013626 -0.456988 8.287362 -0.752886 86.636426

Antenna 84: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Temporal Discontinuties 38.665378 13.221487 15.032129 0.359319 1.272964 9.637161 2.454155 38.665378 1.429280

Antenna 84: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 9.503435 9.128897 9.503435 0.600020 1.143740 -0.430413 0.403788 0.841596 0.390744

Antenna 84: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok ee Shape 11.016819 10.402937 11.016819 1.113647 0.901336 1.124988 -0.038009 3.231141 -0.493928

Antenna 84: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 9.109864 9.109864 8.321450 0.978449 -0.076577 0.913709 -0.658873 2.278572 -0.558162

Antenna 84: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 84: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
84 N08 digital_ok nn Shape 19.316557 19.316557 16.867172 0.772046 -0.180092 1.887260 -1.082286 0.446668 0.393953
In [ ]: